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52 Publications

2023 | Conference Paper | IST-REx-ID: 14921 | OA
Súkeník, Peter, Marco Mondelli, and Christoph Lampert. “Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model.” In 37th Annual Conference on Neural Information Processing Systems, n.d.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2023 | Conference Paper | IST-REx-ID: 14924 | OA
Wu, Diyuan, Vyacheslav Kungurtsev, and Marco Mondelli. “Mean-Field Analysis for Heavy Ball Methods: Dropout-Stability, Connectivity, and Global Convergence.” In Transactions on Machine Learning Research. ML Research Press, 2023.
[Published Version] View | Download Published Version (ext.) | arXiv
 
2023 | Conference Paper | IST-REx-ID: 14923 | OA
Fu, Teng, YuHao Liu, Jean Barbier, Marco Mondelli, ShanSuo Liang, and TianQi Hou. “Mismatched Estimation of Non-Symmetric Rank-One Matrices Corrupted by Structured Noise.” In Proceedings of 2023 IEEE International Symposium on Information Theory. IEEE, n.d. https://doi.org/10.1109/isit54713.2023.10206671.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2023 | Conference Paper | IST-REx-ID: 14922 | OA
Esposito, Amedeo Roberto, and Marco Mondelli. “Concentration without Independence via Information Measures.” In Proceedings of 2023 IEEE International Symposium on Information Theory, 400–405. IEEE, 2023. https://doi.org/10.1109/isit54713.2023.10206899.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
2022 | Journal Article | IST-REx-ID: 11420 | OA
Shevchenko, Aleksandr, Vyacheslav Kungurtsev, and Marco Mondelli. “Mean-Field Analysis of Piecewise Linear Solutions for Wide ReLU Networks.” Journal of Machine Learning Research. Journal of Machine Learning Research, 2022.
[Published Version] View | Files available | arXiv
 
2022 | Conference Paper | IST-REx-ID: 12011 | OA
Zhang, Yihan, Sidharth Jaggi, Michael Langberg, and Anand D. Sarwate. “The Capacity of Causal Adversarial Channels.” In 2022 IEEE International Symposium on Information Theory, 2022:2523–28. IEEE, 2022. https://doi.org/10.1109/ISIT50566.2022.9834709.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2022 | Conference Paper | IST-REx-ID: 12017
Yadav, Anuj Kumar, Mohammadreza Alimohammadi, Yihan Zhang, Amitalok J. Budkuley, and Sidharth Jaggi. “New Results on AVCs with Omniscient and Myopic Adversaries.” In 2022 IEEE International Symposium on Information Theory, 2022:2535–40. Institute of Electrical and Electronics Engineers, 2022. https://doi.org/10.1109/ISIT50566.2022.9834632.
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2022 | Conference Paper | IST-REx-ID: 12013
Joshi, Pranav, Amritakshya Purkayastha, Yihan Zhang, Amitalok J. Budkuley, and Sidharth Jaggi. “On the Capacity of Additive AVCs with Feedback.” In 2022 IEEE International Symposium on Information Theory, 2022:504–9. IEEE, 2022. https://doi.org/10.1109/ISIT50566.2022.9834850.
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2022 | Conference Paper | IST-REx-ID: 12016 | OA
Fathollahi, Dorsa, and Marco Mondelli. “Polar Coded Computing: The Role of the Scaling Exponent.” In 2022 IEEE International Symposium on Information Theory, 2022:2154–59. IEEE, 2022. https://doi.org/10.1109/ISIT50566.2022.9834712.
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2022 | Conference Paper | IST-REx-ID: 12012 | OA
Torkamani, Sahel, Javad B. Ebrahimi, Parastoo Sadeghi, Rafael G.L. D’Oliveira, and Muriel Médard. “Heterogeneous Differential Privacy via Graphs.” In 2022 IEEE International Symposium on Information Theory, 2022:1623–28. IEEE, 2022. https://doi.org/10.1109/ISIT50566.2022.9834711.
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2022 | Conference Paper | IST-REx-ID: 12018
Zhang, Yihan, and Shashank Vatedka. “Lower Bounds on List Decoding Capacity Using Error Exponents.” In 2022 IEEE International Symposium on Information Theory, 2022:1324–29. Institute of Electrical and Electronics Engineers, 2022. https://doi.org/10.1109/ISIT50566.2022.9834815.
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2022 | Conference Paper | IST-REx-ID: 12015
Zhang, Yihan, and Shashank Vatedka. “Lower Bounds for Multiple Packing.” In 2022 IEEE International Symposium on Information Theory, 2022:3085–90. IEEE, 2022. https://doi.org/10.1109/ISIT50566.2022.9834443.
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2022 | Conference Paper | IST-REx-ID: 12014
Zhang, Yihan, and Shashank Vatedka. “List-Decodability of Poisson Point Processes.” In 2022 IEEE International Symposium on Information Theory, 2022:2559–64. IEEE, 2022. https://doi.org/10.1109/ISIT50566.2022.9834512.
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2022 | Conference Paper | IST-REx-ID: 12019
Polyanskii, Nikita, and Yihan Zhang. “List-Decodable Zero-Rate Codes for the Z-Channel.” In 2022 IEEE International Symposium on Information Theory, 2022:2553–58. Institute of Electrical and Electronics Engineers, 2022. https://doi.org/10.1109/ISIT50566.2022.9834829.
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2022 | Conference Paper | IST-REx-ID: 12540 | OA
Venkataramanan, Ramji, Kevin Kögler, and Marco Mondelli. “Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing.” In Proceedings of the 39th International Conference on Machine Learning, Vol. 162. ML Research Press, 2022.
[Published Version] View | Files available
 
2022 | Preprint | IST-REx-ID: 12536 | OA
Barbier, Jean, TianQi Hou, Marco Mondelli, and Manuel Saenz. “The Price of Ignorance: How Much Does It Cost to Forget Noise Structure in Low-Rank Matrix Estimation?” ArXiv, n.d. https://doi.org/10.48550/arXiv.2205.10009.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2022 | Preprint | IST-REx-ID: 12860 | OA
Bombari, Simone, Alessandro Achille, Zijian Wang, Yu-Xiang Wang, Yusheng Xie, Kunwar Yashraj Singh, Srikar Appalaraju, Vijay Mahadevan, and Stefano Soatto. “Towards Differential Relational Privacy and Its Use in Question Answering.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2203.16701.
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2022 | Journal Article | IST-REx-ID: 11639 | OA
Zhang, Yihan, and Shashank Vatedka. “List Decoding Random Euclidean Codes and Infinite Constellations.” IEEE Transactions on Information Theory. IEEE, 2022. https://doi.org/10.1109/TIT.2022.3189542.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2022 | Journal Article | IST-REx-ID: 12233 | OA
Doan, Nghia, Seyyed Ali Hashemi, Marco Mondelli, and Warren J. Gross. “Decoding Reed-Muller Codes with Successive Codeword Permutations.” IEEE Transactions on Communications. Institute of Electrical and Electronics Engineers, 2022. https://doi.org/10.1109/tcomm.2022.3211101.
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2022 | Journal Article | IST-REx-ID: 12273 | OA
Zhang, Yihan, Shashank Vatedka, Sidharth Jaggi, and Anand D. Sarwate. “Quadratically Constrained Myopic Adversarial Channels.” IEEE Transactions on Information Theory. Institute of Electrical and Electronics Engineers, 2022. https://doi.org/10.1109/tit.2022.3167554.
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2022 | Journal Article | IST-REx-ID: 10364 | OA
Hashemi, Seyyed Ali, Marco Mondelli, Arman Fazeli, Alexander Vardy, John Cioffi, and Andrea Goldsmith. “Parallelism versus Latency in Simplified Successive-Cancellation Decoding of Polar Codes.” IEEE Transactions on Wireless Communications. Institute of Electrical and Electronics Engineers, 2022. https://doi.org/10.1109/TWC.2021.3125626.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
2022 | Journal Article | IST-REx-ID: 12538 | OA
Amani, Mohammad Hossein, Simone Bombari, Marco Mondelli, Rattana Pukdee, and Stefano Rini. “Sharp Asymptotics on the Compression of Two-Layer Neural Networks.” IEEE Information Theory Workshop. IEEE, 2022. https://doi.org/10.1109/ITW54588.2022.9965870.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2022 | Conference Paper | IST-REx-ID: 12537 | OA
Bombari, Simone, Mohammad Hossein Amani, and Marco Mondelli. “Memorization and Optimization in Deep Neural Networks with Minimum Over-Parameterization.” In 36th Conference on Neural Information Processing Systems, 35:7628–40. Curran Associates, 2022.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2022 | Journal Article | IST-REx-ID: 12480 | OA
Mondelli, Marco, and Ramji Venkataramanan. “Approximate Message Passing with Spectral Initialization for Generalized Linear Models.” Journal of Statistical Mechanics: Theory and Experiment. IOP Publishing, 2022. https://doi.org/10.1088/1742-5468/ac9828.
[Published Version] View | Files available | DOI | WoS
 
2021 | Conference Paper | IST-REx-ID: 10595 | OA
Nguyen, Quynh, Marco Mondelli, and Guido F Montufar. “Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks.” In Proceedings of the 38th International Conference on Machine Learning, edited by Marina Meila and Tong Zhang, 139:8119–29. ML Research Press, 2021.
[Published Version] View | Download Published Version (ext.) | arXiv
 
2021 | Conference Paper | IST-REx-ID: 10599 | OA
Hashemi, Seyyed Ali, Marco Mondelli, John Cioffi, and Andrea Goldsmith. “Successive Syndrome-Check Decoding of Polar Codes.” In Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021–October:943–47. Institute of Electrical and Electronics Engineers, 2021. https://doi.org/10.1109/IEEECONF53345.2021.9723394.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2021 | Conference Paper | IST-REx-ID: 13146 | OA
Nguyen, Quynh, Marco Mondelli, and Guido Montufar. “Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks.” In Proceedings of the 38th International Conference on Machine Learning, 139:8119–29. ML Research Press, 2021.
[Published Version] View | Files available | arXiv
 
2021 | Journal Article | IST-REx-ID: 9047 | OA
Mondelli, Marco, Seyyed Ali Hashemi, John M. Cioffi, and Andrea Goldsmith. “Sublinear Latency for Simplified Successive Cancellation Decoding of Polar Codes.” IEEE Transactions on Wireless Communications. IEEE, 2021. https://doi.org/10.1109/TWC.2020.3022922.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
2021 | Conference Paper | IST-REx-ID: 10053 | OA
Hashemi, Seyyed Ali, Marco Mondelli, Arman Fazeli, Alexander Vardy, John Cioffi, and Andrea Goldsmith. “Parallelism versus Latency in Simplified Successive-Cancellation Decoding of Polar Codes.” In 2021 IEEE International Symposium on Information Theory, 2369–74. Institute of Electrical and Electronics Engineers, 2021. https://doi.org/10.1109/ISIT45174.2021.9518153.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
2021 | Conference Paper | IST-REx-ID: 10597 | OA
Fathollahi, Dorsa, Nariman Farsad, Seyyed Ali Hashemi, and Marco Mondelli. “Sparse Multi-Decoder Recursive Projection Aggregation for Reed-Muller Codes.” In 2021 IEEE International Symposium on Information Theory, 1082–87. Institute of Electrical and Electronics Engineers, 2021. https://doi.org/10.1109/isit45174.2021.9517887.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2021 | Journal Article | IST-REx-ID: 10211 | OA
Mondelli, Marco, Christos Thrampoulidis, and Ramji Venkataramanan. “Optimal Combination of Linear and Spectral Estimators for Generalized Linear Models.” Foundations of Computational Mathematics. Springer, 2021. https://doi.org/10.1007/s10208-021-09531-x.
[Published Version] View | Files available | DOI | WoS | arXiv
 
2021 | Conference Paper | IST-REx-ID: 10593 | OA
Mondelli, Marco, and Ramji Venkataramanan. “PCA Initialization for Approximate Message Passing in Rotationally Invariant Models.” In 35th Conference on Neural Information Processing Systems, 35:29616–29. Neural Information Processing Systems Foundation, 2021.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2021 | Conference Paper | IST-REx-ID: 10594 | OA
Nguyen, Quynh, Pierre Bréchet, and Marco Mondelli. “When Are Solutions Connected in Deep Networks?” In 35th Conference on Neural Information Processing Systems, Vol. 35. Neural Information Processing Systems Foundation, 2021.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2021 | Conference Paper | IST-REx-ID: 10598 | OA
Mondelli, Marco, and Ramji Venkataramanan. “Approximate Message Passing with Spectral Initialization for Generalized Linear Models.” In Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, edited by Arindam Banerjee and Kenji Fukumizu, 130:397–405. ML Research Press, 2021.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
2021 | Journal Article | IST-REx-ID: 9002
Fazeli, Arman, Hamed Hassani, Marco Mondelli, and Alexander Vardy. “Binary Linear Codes with Optimal Scaling: Polar Codes with Large Kernels.” IEEE Transactions on Information Theory. IEEE, 2021. https://doi.org/10.1109/TIT.2020.3038806.
[Preprint] View | Files available | DOI | arXiv
 
2021 | Journal Article | IST-REx-ID: 15254 | OA
Li, Sijie, Rawad Bitar, Sidharth Jaggi, and Yihan Zhang. “Network Coding with Myopic Adversaries.” IEEE Journal on Selected Areas in Information Theory. IEEE, 2021. https://doi.org/10.1109/JSAIT.2021.3126474.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2020 | Conference Paper | IST-REx-ID: 9221 | OA
Nguyen, Quynh, and Marco Mondelli. “Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology.” In 34th Conference on Neural Information Processing Systems, 33:11961–11972. Curran Associates, 2020.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2020 | Conference Paper | IST-REx-ID: 8536 | OA
Mondelli, Marco, Seyyed Ali Hashemi, John Cioffi, and Andrea Goldsmith. “Simplified Successive Cancellation Decoding of Polar Codes Has Sublinear Latency.” In IEEE International Symposium on Information Theory - Proceedings, Vol. 2020–June. IEEE, 2020. https://doi.org/10.1109/ISIT44484.2020.9174141.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
2020 | Conference Paper | IST-REx-ID: 9198 | OA
Shevchenko, Alexander, and Marco Mondelli. “Landscape Connectivity and Dropout Stability of SGD Solutions for Over-Parameterized Neural Networks.” In Proceedings of the 37th International Conference on Machine Learning, 119:8773–84. ML Research Press, 2020.
[Published Version] View | Files available | arXiv
 
2020 | Journal Article | IST-REx-ID: 6748 | OA
Javanmard, Adel, Marco Mondelli, and Andrea Montanari. “Analysis of a Two-Layer Neural Network via Displacement Convexity.” Annals of Statistics. Institute of Mathematical Statistics, 2020. https://doi.org/10.1214/20-AOS1945.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2019 | Journal Article | IST-REx-ID: 6750 | OA
Hashemi, Seyyed Ali, Carlo Condo, Marco Mondelli, and Warren J Gross. “Rate-Flexible Fast Polar Decoders.” IEEE Transactions on Signal Processing. IEEE, 2019. https://doi.org/10.1109/TSP.2019.2944738.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2019 | Journal Article | IST-REx-ID: 7007 | OA
Mondelli, Marco, S. Hamed Hassani, and Rüdiger Urbanke. “A New Coding Paradigm for the Primitive Relay Channel.” Algorithms. MDPI, 2019. https://doi.org/10.3390/a12100218.
[Published Version] View | Files available | DOI | arXiv
 

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